• Journal of the Korean Institute of Rural Architecture
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• v.14 no.3
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• pp.69-76
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• 2012

This study aims to investigate the mechanism that analysis of the layout-structure of the Traditional Village Oeam. It can identify through the division of area, the properties of layout residential type, the relationship between buildings and roads and location of buildings and a gate. Traditional Folk Village is our precious cultural heritage. However, now is time for our disappearing heritage due to the indiscriminate development. This study will good references for residential Complex in modern society. As a result of this study road in the center of village is divided into two areas. The road and stream plays an important role in the housing layout and composition of the village. Oeam village houses are separated by scale as large, middle, small scale housing. The courty yard is formed widely through a various of housing plan. So that ventilation and light is favorable even if the main house is high. Each house has the individuality with avoiding the village roads and using the byroads and stone wall. Therefore, each house can protect the privacy of houses.

• Journal of the Society of Naval Architects of Korea
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• v.51 no.5
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• pp.388-395
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• 2014

This paper presents a method that generates alternatives of spatial arrangement for naval ships with limited information. To attain this end, GA (General Arrangement) methodology and GA reports of existing naval ships are analyzed. In order to improve the current naval ship spatial arrangement method that relies on the experience and know-hows of designers, we propose a systematic spatial arrangement process using SLP (Systematic Layout Planning), which determines relative positions of the components by analyzing relationships among them. The proposed method, along with the GA process, is applied to a virtual naval ship and layout alternatives are generated to verify usefulness of the method.

• Korean Journal of Construction Engineering and Management
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• v.24 no.5
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• pp.73-82
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• 2023

Optimization of Construction Site Layout Planning (CSLP) heavily relies on workers' travel paths. However, traditional path generation approaches predominantly focus on the shortest path, often neglecting critical variables such as individual wayfinding tendencies, the spatial arrangement of site objects, and potential hazards. These oversights can lead to compromised path simulations, resulting in less reliable site layout plans. While Deep Reinforcement Learning (DRL) has been proposed as a potential alternative to address these issues, it has shown limitations. Despite presenting more realistic travel paths by considering these variables, DRL often struggles with efficiency in complex environments, leading to extended learning times and potential failures. To overcome these challenges, this study introduces a refined model that enhances spatial navigation capabilities and learning performance by integrating workers' visibility into the reward functions. The proposed model demonstrated a 12.47% increase in the pathfinding success rate and notable improvements in the other two performance measures compared to the existing DRL framework. The adoption of this model could greatly enhance the reliability of the results, ultimately improving site operational efficiency and safety management such as by reducing site congestion and accidents. Future research could expand this study by simulating travel paths in dynamic, multi-agent environments that represent different stages of construction.

• International conference on construction engineering and project management
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• 2022.06a
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• pp.1085-1092
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• 2022

Travel distance is a parameter mainly used in the objective function of Construction Site Layout Planning (CSLP) automation models. To obtain travel distance, common approaches, such as linear distance, shortest-distance algorithm, visibility graph, and access road path, concentrate only on identifying the shortest path. However, humans do not necessarily follow one shortest path but can choose a safer and more comfortable path according to their situation within a reasonable range. Thus, paths generated by these approaches may be different from the actual paths of the workers, which may cause a decrease in the reliability of the optimized construction site layout. To solve this problem, this paper adopts reinforcement learning (RL) inspired by various concepts of cognitive science and behavioral psychology to generate a realistic path that mimics the decision-making and behavioral processes of wayfinding of workers on the construction site. To do so, in this paper, the collection of human wayfinding tendencies and the characteristics of the walking environment of construction sites are investigated and the importance of taking these into account in simulating the actual path of workers is emphasized. Furthermore, a simulation developed by mapping the identified tendencies to the reward design shows that the RL agent behaves like a real construction worker. Based on the research findings, some opportunities and challenges were proposed. This study contributes to simulating the potential path of workers based on deep RL, which can be utilized to calculate the travel distance of CSLP automation models, contributing to providing more reliable solutions.

• Korean Institute of Interior Design Journal
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• v.21 no.6
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• pp.233-242
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• 2012

The purpose of this study is to analyze the pattern of tenant layout for selected cases of five different Urban Entertainment Center(UEC) in Seoul. This research deals with the process of gaining tenant layout pattern of 40 different types. It is composed of three combination unit with tenants of the same or different consumption mode, which is divided into four different functions of retail, entertainment, dining, and service. Then, every tenant of research cases is classified as one of the fabric type, and the data is analyzed to gain its frequency rate with SPSS 14.0 program. The following is the overall explanation of the result for this research. The frequency of tenant layout pattern between the same consumption mode shows the high rate when compared to the other patterns with different consumption mode. For example, the frequency rate of tenant layout pattern which retail and dining consumption mode are placed side by side like RRR and DDD is high. Interestingly, the frequency rate of RRR type of tenant layout pattern that sells the similar products shows especially high level. It can provide the effective environment for shoppers to compare retail goods in many different stores as producing synergic effects when they are located near each other, so this strategy should be considered when planning tenants in UEC environment. Moreover, in case of dining tenants, when they are clustered together in the UEC environment it can play a role as an anchor tenant. Tenant layout pattern of dining-retail and dining-service consumption mode shows the high frequency rate than other layout pattern with other consumption mode. Besides, entertainment consumption tenants combined with dining or retail tenants show the high frequency rate when compared to the pattern combined with service consumption mode.

• Proceedings of the Korean Society of Precision Engineering Conference
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• 2008.06a
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• pp.351-352
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• 2008

• Journal of Korean Society of Industrial and Systems Engineering
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• v.20 no.43
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• pp.17-24
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• 1997

This research suggests an approach to reduce the physical distribution cost of production by analyzing data from real situations. The proposed approach re-layouts facilities according to the SLP(Systematic Layout Planning) method. An application result showed that the production lead time was reduced by 24% and the payoff period for facility re-layout was about ten months.

• Structural Engineering and Mechanics
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• v.11 no.2
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• pp.151-170
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• 2001

With increasing competition, the engineering industry is in need of optimization of designs that would lead to minimum cost or weight. Recent developments in Genetic Algorithms (GAs) makes it possible to model and obtain optimal solutions in structural design that can be put to use in industry. The main objective of this paper is to illustrate typical applications of GAs to practical design of structural systems such as steel trusses, towers, bridges, reinforced concrete frames, bridge decks, shells and layout planning of buildings. Hence, instead of details of GA process, which can be found in the reported literature, attention is focussed on the description of the various applications and the practical aspects that are considered in Genetic Modeling. The paper highlights scope and future directions for wider applications of GA based methodologies for optimal design in practice.

• 제어로봇시스템학회:학술대회논문집
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• 2005.06a
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• pp.1098-1100
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• 2005

The floorplanning problem is an essential design step in VLSI layout design and it is how to place rectangular modules as density as possible. And then, as the DSM advances, the VLSI chip becomes more congested even though more metal layers are used for routing. Usually, a VLSI chip includes several buses. As design increases in complexity, bus routing becomes a heavy task. To ease bus routing and avoid unnecessary iterations in physical design, we need to consider bus planning in early floorplanning stage. In this paper, we propose a floorplanning method for topological constraint consisting of bus constraint and memory constraint. The proposed algorithms based on Genetic Algorithm(GA) is adopted a sequence pair. For selection control, new objective functions are introduced for topological constraint. Studies on floor planning and cell placement have been reported as being applications of GA to the LSI layout problem. However, no studies have ever seen the effect of applying GA in consideration of topological constraint. Experimental results show improvement of bus and memory constraint.

• Industrial Engineering and Management Systems
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• v.12 no.4
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• pp.389-405
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• 2013

A facility layout design (FLD) problem can be generally introduced as assignment of facilities (departments) to a site such that a set of criteria are satisfied or some objectives are minimized (maximized). Hence, it can be considered as a multi-criteria problem due to the presence of qualitative criteria such as maintenance or flexibility and quantitative criteria such as the total cost of handling material. The VIKOR method was developed to solve multiple criteria decision making problems with conflicting and non-commensurable (different units) criteria, assuming that compromising is acceptable for conflict resolution, the decision maker wants a solution that is the closest to the ideal, and the alternatives are evaluated according to all established criteria. This paper proposes a hierarchical analytic hierarchy process (AHP) and VIKOR approach to solve the FLD problem. A computer-aided layout-planning tool is adopted to generate the facility layout problems, as well as their quantitative data. The qualitative performance measures are weighted by AHP. VIKOR is then used to solve the FLD problem. Finally, the proposed integrated procedure is applied to three real-time examples.